Mahdieh Nejati

Robotics Researcher

Interface Operation and Implications for Shared-Control Assistive Robots


Conference proceedings


M Nejati Javaremi, M Young, BD Argall
IEEE-RAS-EMBS International Conference on Rehabilitation Robotics (ICORR), *Finalist for Best Student Paper Award, 2019

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APA   Click to copy
Javaremi, M. N., Young, M., & Argall, B. D. (2019). Interface Operation and Implications for Shared-Control Assistive Robots. IEEE-RAS-EMBS International Conference on Rehabilitation Robotics (ICORR).


Chicago/Turabian   Click to copy
Javaremi, M Nejati, M Young, and BD Argall. Interface Operation and Implications for Shared-Control Assistive Robots. IEEE-RAS-EMBS International Conference on Rehabilitation Robotics (ICORR), 2019.


MLA   Click to copy
Javaremi, M. Nejati, et al. Interface Operation and Implications for Shared-Control Assistive Robots. IEEE-RAS-EMBS International Conference on Rehabilitation Robotics (ICORR), 2019.


BibTeX   Click to copy

@proceedings{m2019a,
  title = {Interface Operation and Implications for Shared-Control Assistive Robots},
  year = {2019},
  institution = {*Finalist for Best Student Paper Award},
  publisher = {IEEE-RAS-EMBS International Conference on Rehabilitation Robotics (ICORR)},
  author = {Javaremi, M Nejati and Young, M and Argall, BD},
  booktitle = {},
  howpublished = {}
}

Shared-control for assistive devices can increase the independence of individuals with motor impairments. However, each person is unique in their level of injury and physical constraints. Consequently, a plethora of interfaces are used to control the assistive device, depending on the individual. In order to be effective, the shared-autonomy assistance should be aware of the usage characteristics of the interface and adjust to varying performance characteristics of the person. To that end, we conduct a 23 person (9 spinal cord injured and 14 uninjured) study using three commercial interfaces used to operate powered wheelchairs, and establish performance measures to characterize interface usage. The analyses of our performance measures unveil key aspects of the interface operation that can inform features of a customizable and interface-aware control sharing framework.